Follow
Tianyi Chen
Title
Cited by
Cited by
Year
LAG: Lazily aggregated gradient for communication-efficient distributed learning
T Chen, G Giannakis, T Sun, W Yin
Advances in Neural Information Processing Systems, 5055-5065, 2018
2302018
RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets
L Li, W Xu, T Chen, GB Giannakis, Q Ling
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1544-1551, 2019
1792019
An online convex optimization approach to proactive network resource allocation
T Chen, Q Ling, GB Giannakis
IEEE Transactions on Signal Processing 65 (24), 6350-6364, 2017
1742017
Learning and management for Internet of Things: Accounting for adaptivity and scalability
T Chen, S Barbarossa, X Wang, GB Giannakis, ZL Zhang
Proceedings of the IEEE 107 (4), 778-796, 2019
132*2019
Bandit convex optimization for scalable and dynamic IoT management
T Chen, GB Giannakis
IEEE Internet of Things Journal 6 (1), 1276-1286, 2018
1162018
Communication-efficient distributed learning via lazily aggregated quantized gradients
J Sun, T Chen, G Giannakis, Z Yang
Advances in Neural Information Processing Systems, 3370-3380, 2019
100*2019
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks
Z Wu, Q Ling, T Chen, GB Giannakis
IEEE Transactions on Signal Processing 68, 4583 - 4596, 2020
992020
VAFL: a Method of Vertical Asynchronous Federated Learning
T Chen, X Jin, Y Sun, W Yin
Proc. of ICML Workshop on Federated Learning for User Privacy and Data …, 2020
772020
Communication-efficient policy gradient methods for distributed reinforcement learning
T Chen, K Zhang, GB Giannakis, T Başar
IEEE Transactions on Control of Network Systems, 2020
73*2020
Dynamic energy management for smart-grid-powered coordinated multipoint systems
X Wang, Y Zhang, T Chen, GB Giannakis
IEEE Journal on Selected Areas in Communications 34 (5), 1348-1359, 2016
592016
Robust workload and energy management for sustainable data centers
T Chen, Y Zhang, X Wang, GB Giannakis
IEEE Journal on Selected Areas in Communications 34 (3), 651-664, 2016
582016
A Single-Timescale Method for Stochastic Bilevel Optimization
T Chen, Y Sun, Q Xiao, W Yin
International Conference on Artificial Intelligence and Statistics, 2466-2488, 2022
57*2022
Random feature-based online multi-kernel learning in environments with unknown dynamics
Y Shen, T Chen, GB Giannakis
The Journal of Machine Learning Research 20 (1), 773-808, 2019
57*2019
DGLB: Distributed stochastic geographical load balancing over cloud networks
T Chen, AG Marques, GB Giannakis
IEEE Transactions on Parallel and Distributed Systems 28 (7), 1866-1880, 2016
532016
Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization
T Chen, Y Sun, W Yin
IEEE Transactions on Signal Processing 69, 4937-4948, 2021
482021
Stochastic averaging for constrained optimization with application to online resource allocation
T Chen, A Mokhtari, X Wang, A Ribeiro, GB Giannakis
IEEE Transactions on Signal Processing 65 (12), 3078-3093, 2017
462017
Real-time energy management in microgrids with reduced battery capacity requirements
B Li, T Chen, X Wang, GB Giannakis
IEEE Transactions on Smart Grid 10 (2), 1928-1938, 2017
452017
Heterogeneous Online Learning for “Thing-Adaptive” Fog Computing in IoT
T Chen, Q Ling, Y Shen, GB Giannakis
IEEE Internet of Things Journal 5 (6), 4328-4341, 2018
44*2018
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
T Chen, Y Sun, W Yin
Advances in Neural Information Processing Systems 34, 2021
42*2021
Two-scale stochastic control for integrated multipoint communication systems with renewables
X Wang, X Chen, T Chen, L Huang, GB Giannakis
IEEE Transactions on Smart Grid 9 (3), 1822-1834, 2016
39*2016
The system can't perform the operation now. Try again later.
Articles 1–20